Azure Data Factory vs. Fivetran
A side-by-side comparison based on G2 review data.
| Metric | Azure Data Factory | Fivetran |
|---|---|---|
| Overall rating | 4.6 | 4.3 |
| Review count | 102 | 852 |
| Ease of use | 9.1 | 9.1 |
| Ease of setup | 9.2 | 9.2 |
| Quality of support | 9.0 | 8.7 |
| Meets requirements | 9.3 | 8.8 |
| NPS | 76.28866 | 55.155875 |
| Small Business | 11.9% | 27.2% |
| Mid-Market | 28.7% | 59.2% |
| Enterprise | 59.4% | 13.6% |
| Total page views | 445 | 2,606 |
| Total LLM citations | 1,119 | 16,768 |
Azure Data Factory
Azure Data Factory (ADF) is a fully managed, serverless data integration service designed to simplify the process of ingesting, preparing, and transforming data from diverse sources. It enables organizations to construct and orchestrate Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) workflows in a code-free environment, facilitating seamless data movement and transformation across on-premises and cloud-based systems.
- Data Integration
- Ease of Use
- Integrations
- Scalability
- Connectors
- Simple
Fivetran
Fivetran is the data foundation for AI. One platform moves, manages, and transforms data from every application, database, event stream, and file your business runs on into a governed foundation that analytics, operations, and AI can act on. Connectors deploy in minutes, run themselves, and adjust automatically when a source changes, so your data team spends its time building, not maintaining pipelines.
- Ease of Use
- Easy Setup
- Easy Integration
- Customer Support
- User Interface
- Integrations